On sampling collection procedure effectiveness for forest soil characterization

Detalhes bibliográficos
Autor(a) principal: Castro, Ana Meira
Data de Publicação: 2015
Outros Autores: Meixedo, João P., Santos, Jorge, Góis, Joaquim, Gonçalves, António Bento, Vieira, António, Lourenço, Luciano
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/28014
Resumo: One of the most important measures to prevent wild forest fires is the use of prescribed and controlled burning actions as it reduce the fuel mass availability. The impact of these management activities on soil physical and chemical properties varies according to the type of both soil and vegetation. Decisions in forest management plans are often based on the results obtained from soil-monitoring campaigns. Those campaigns are often man-labor intensive and expensive. In this paper we have successfully used the multivariate statistical technique Robust Principal Analysis Compounds (ROBPCA) to investigate on the sampling procedure effectiveness for two different methodologies, in order to reflect on the possibility of simplifying and reduce the sampling collection process and its auxiliary laboratory analysis work towards a cost-effective and competent forest soil characterization.
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spelling On sampling collection procedure effectiveness for forest soil characterizationForest soilPrescribed fireRobust principal components analysisSampling collection procedureSoil propertiesOne of the most important measures to prevent wild forest fires is the use of prescribed and controlled burning actions as it reduce the fuel mass availability. The impact of these management activities on soil physical and chemical properties varies according to the type of both soil and vegetation. Decisions in forest management plans are often based on the results obtained from soil-monitoring campaigns. Those campaigns are often man-labor intensive and expensive. In this paper we have successfully used the multivariate statistical technique Robust Principal Analysis Compounds (ROBPCA) to investigate on the sampling procedure effectiveness for two different methodologies, in order to reflect on the possibility of simplifying and reduce the sampling collection process and its auxiliary laboratory analysis work towards a cost-effective and competent forest soil characterization.FuegoRedUniversidade do MinhoCastro, Ana MeiraMeixedo, João P.Santos, JorgeGóis, JoaquimGonçalves, António BentoVieira, AntónioLourenço, Luciano20152015-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/28014eng2171-665Xhttps://sites.google.com/site/flammafgr/texto/volumen-6-2015/6-2-2015/6-2-15info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:46:52Zoai:repositorium.sdum.uminho.pt:1822/28014Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:44:54.871448Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv On sampling collection procedure effectiveness for forest soil characterization
title On sampling collection procedure effectiveness for forest soil characterization
spellingShingle On sampling collection procedure effectiveness for forest soil characterization
Castro, Ana Meira
Forest soil
Prescribed fire
Robust principal components analysis
Sampling collection procedure
Soil properties
title_short On sampling collection procedure effectiveness for forest soil characterization
title_full On sampling collection procedure effectiveness for forest soil characterization
title_fullStr On sampling collection procedure effectiveness for forest soil characterization
title_full_unstemmed On sampling collection procedure effectiveness for forest soil characterization
title_sort On sampling collection procedure effectiveness for forest soil characterization
author Castro, Ana Meira
author_facet Castro, Ana Meira
Meixedo, João P.
Santos, Jorge
Góis, Joaquim
Gonçalves, António Bento
Vieira, António
Lourenço, Luciano
author_role author
author2 Meixedo, João P.
Santos, Jorge
Góis, Joaquim
Gonçalves, António Bento
Vieira, António
Lourenço, Luciano
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Castro, Ana Meira
Meixedo, João P.
Santos, Jorge
Góis, Joaquim
Gonçalves, António Bento
Vieira, António
Lourenço, Luciano
dc.subject.por.fl_str_mv Forest soil
Prescribed fire
Robust principal components analysis
Sampling collection procedure
Soil properties
topic Forest soil
Prescribed fire
Robust principal components analysis
Sampling collection procedure
Soil properties
description One of the most important measures to prevent wild forest fires is the use of prescribed and controlled burning actions as it reduce the fuel mass availability. The impact of these management activities on soil physical and chemical properties varies according to the type of both soil and vegetation. Decisions in forest management plans are often based on the results obtained from soil-monitoring campaigns. Those campaigns are often man-labor intensive and expensive. In this paper we have successfully used the multivariate statistical technique Robust Principal Analysis Compounds (ROBPCA) to investigate on the sampling procedure effectiveness for two different methodologies, in order to reflect on the possibility of simplifying and reduce the sampling collection process and its auxiliary laboratory analysis work towards a cost-effective and competent forest soil characterization.
publishDate 2015
dc.date.none.fl_str_mv 2015
2015-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/28014
url http://hdl.handle.net/1822/28014
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2171-665X
https://sites.google.com/site/flammafgr/texto/volumen-6-2015/6-2-2015/6-2-15
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv FuegoRed
publisher.none.fl_str_mv FuegoRed
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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